code: def __init__(
      self,
      model_name: str,
      user_prompt: str,
      with_examples: bool = False,
  ):
      self.model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
      self.tokenizer = AutoTokenizer.from_pretrained(model_name)
      self.prompt, self.input_variables = _get_template_and_variables(
          user_prompt, with_examples=with_examples
      )
  
file_path: nebuly/optimization/chatllama/artifacts/extend_rlhf_dataset.py
imports: import os.path
  import numpy
  from langchain import OpenAI, LLMChain, PromptTemplate
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
label_desc: Use image node_id 1 to create a new HuggingFaceChain object  with example: obj = HuggingFaceChain(model_name, user_prompt, with_examples)